code: def register_lambda_agent_connector(
      name: str, fn: Callable[[Any], Any]
  ) -> Type[AgentConnector]:
      """A util to register any simple transforming function as an AgentConnector
  
      The only requirement is that fn should take a single data object and return
      a single data object.
  
      Args:
          name: Name of the resulting actor connector.
          fn: The function that transforms env / agent data.
  
      Returns:
          A new AgentConnector class that transforms data using fn.
      """
  
      class LambdaAgentConnector(AgentConnector):
          def transform(
              self, ac_data: AgentConnectorDataType
          ) -> AgentConnectorDataType:
              return AgentConnectorDataType(
                  ac_data.env_id, ac_data.agent_id, fn(ac_data.data)
              )
  
          def to_state(self):
              return name, None
  
          @staticmethod
          def from_state(ctx: ConnectorContext, params: Any):
              return LambdaAgentConnector(ctx)
  
      LambdaAgentConnector.__name__ = name
      LambdaAgentConnector.__qualname__ = name
  
      register_connector(name, LambdaAgentConnector)
  
      return LambdaAgentConnector
  
file_path: ray/rllib/connectors/agent/lambdas.py
imports: from typing import Any, Callable, Type
  import numpy
  import tree
  from ray.rllib.connectors.connector import AgentConnector, ConnectorContext
  from ray.rllib.connectors.registry import register_connector
  from ray.rllib.policy.sample_batch import SampleBatch
  from ray.rllib.utils.typing import AgentConnectorDataType, AgentConnectorsOutput
  from ray.util.annotations import PublicAPI
label_desc: Use image node_id 1 for calling a global function with example usage: register_lambda_agent_connector(name, fn) and returns: LambdaAgentConnector, AgentConnectorDataType, name,  None, LambdaAgentConnector